SB2021_e2

2 memory strength (low, high) x 2 encoding variability (low, high) within-subjects, between-blocks recognition memory design.

Individual-level plots of data, model fits and predictions of equal-variance Gaussian SDT (EVSDT, 6 parameters), unequal-variance Gaussian SDT (UVSDT, 7 parameters) and Gumbel SDT (Gumbel, 6 paraneters).

Split by condition, and winning-model (in tabs).

Plots:

Condition A

High memory strength, High encoding variability

EVSDT wins (N = 15)

UVSDT wins (N = 4)

Gumbel wins (N = 40)

ExGauss-Norm wins (N = 5)

Condition B

High memory strength, Low encoding variability

EVSDT wins (N = 22)

UVSDT wins (N = 4)

Gumbel wins (N = 36)

ExGauss-Norm wins (N = 2)

Condition C

Low memory strength, high encoding variability

EVSDT wins (N = 16)

UVSDT wins (N = 0)

Gumbel wins (N = 40)

ExGauss-Norm wins (N = 8)

Condition D

Low memory strength, low encoding variability

EVSDT wins (N = 22)

UVSDT wins (N = 6)

Gumbel wins (N = 31)

ExGauss-Norm wins (N = 5)